Time Series Predictor
Project description
Time Series Predictor
Usage
Please refer to the following jupyter notebook as a usage example.
Development
Pre requisistes installation
Windows
virtualenv -p python3 .env
.\.env\Scripts\activate
pip install -e .[dev]
Linux or MacOS
virtualenv -p python3 .env
. .env/bin/activate
pip install -e .[dev]
Test
pytest -s
Build docs
cd docs
make html
sphinx-build -b rinoh source build/rinoh
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for time_series_predictor-0.1.8.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3682498a0c879cd03bf0a6b861044d6e27ef19564ef7174b9a0bb7e8314584d9 |
|
MD5 | 36013f89a529c6406e3f0c226a89d7ea |
|
BLAKE2b-256 | 75219ab6f66badef80c86a5780a9d8cd6b1e08b7ccd9488c3c1c33715ca795e0 |
Close
Hashes for time_series_predictor-0.1.8-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bbe9dcc10cc78c358eedff94ced0f9e474a705977a0bdfaaece2ab6a293c8d66 |
|
MD5 | 94743830be4adc771eee1fd9149b15ba |
|
BLAKE2b-256 | 5ae5a2a55cab17d3ec7fec86ff925448c4e6f3de740073a9f8b685d783d4b773 |